When a filter is applied to a table with a variable, the empty periods don’t show:

!_name=image (f32cf033-c85a-4154-bf3f-7c34f6e90fe3).png|width=1074,height=286!

However, if we replace the format variable with a categorical or variable, the columns that have their sample filtered out will appear, like this (February and December are now both here), but showing as empty because of the filter:

!_name=image.png|width=100%!

There should be better control of data variables regarding how they show or hide to remove any inconsistencies.

Allow users to create a nominal variable from a date/time variable via the ready-made new variables menu, bypassing the need for them to use R code. They can then use this nominal variable in filters or anywhere else in their analyses where a date/time variable is not appropriate.

You could have them select the date/time period aggregation level in a prompt and then perform the conversion, rather than having them remember that they need to do it directly in the date/time variable upfront.

I’m tired of remembering how to do this/finding the help article with the info myself when I haven’t had to do it in a while. Yes, I know it’s simple R code.

This applies to both Displayr and Q.